Labeling optimization through image clustering
US11854018B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2021 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Aug 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/774
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer system, and a computer program product for labeling optimization is provided. The present invention may include receiving a plurality of labeled historical transaction timeline image clusters based on a plurality of historical transaction timeline images clustered using unsupervised machine learning. The present invention may further include training an image recognition model using supervised machine learning based on the received plurality of labeled historical transaction timeline image clusters. The present invention may also include receiving, by the trained image recognition model, a current transaction timeline image. The present invention may further include assigning a corresponding label to the received current transaction timeline image based on matching the received current transaction timeline image to one of the received plurality of labeled historical transaction timeline image clusters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.